Sales Engineer, EMEA

Posted 16 Days Ago
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London, Greater London, England, GBR
Hybrid
Mid level
Artificial Intelligence • Big Data • Cloud • Software • Analytics • Infrastructure as a Service (IaaS) • Big Data Analytics
Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life.
The Role
Lead technical sales activities including discovery, demonstrations, proof-of-concepts, and architecture discussions. Translate customer data challenges into technical solutions using Python, Airflow, and related tools. Advise customers on DataOps, orchestration, observability, and automation while collaborating with account executives, product teams, and other stakeholders. The role is based in London and requires regular travel to France.
Summary Generated by Built In

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.

🚀 About this role:

Astronomer is on a mission to make DataOps a first-class discipline in every modern data organization. As the driving force behind Apache Airflow, we're powering mission-critical pipelines at scale for companies like Condé Nast, Rappi, Sonos, and more. As a Sales Engineer at Astronomer, you’ll be a key partner to our prospects and customers, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll work with cutting-edge technology, help customers solve complex data challenges, and have a voice in influencing our product’s evolution through client feedback. This role is ideal for someone who wants to make a visible impact while growing into an expert in workflow orchestration and Apache Airflow.

 

✈️ Location: The position is based in London but requires regular travel to France, aligned with business needs.

 

🎯 What You Get to Do:

  • Lead the technical sales motion in partnership with Account Executives - discovery, demos, proof-of-concepts, and architecture discussions

  • Understand customer pain and translate it into high-impact technical solutions tied to business value

  • Build and deliver tailored demos and POCs using Python, Airflow, and related tools

  • Guide customers through modern DataOps strategies - from orchestration to observability and automation

  • Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy

 

✅ What you bring to the role:

You’re technically sharp, customer-obsessed, and energized by solving real problems with data teams. We’re not looking for a perfect checklist match - but here’s what a strong candidate would possess:

  • Business level French language skills

  • Python fluency, CLI comfort, and experience building with tools like Docker

  • Familiarity with cloud-native data architectures (AWS, GCP, or Azure)

  • Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD

  • Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar

  • 3–10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)

  • Strong communication skills across technical and business stakeholders

  • Startup-friendly mindset: proactive, adaptable, fast-moving

     

⭐️ Bonus points if you have:

  • Experience with observability, Kubernetes, or helping teams scale modern data stacks.

 

Why Astronomer?

  • We’re defining the DataOps layer of the modern data stack - not just orchestration

  • Airflow is the standard - we’re making it enterprise-ready, secure, and scalable

  • Backed by top-tier investors and trusted by data-forward organizations

  • You’ll work with a team that values clarity, ownership, and high standards - without ego

 

At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Skills Required

  • Business-level French language skills
  • Fluency in Python
  • Comfort with command-line interfaces
  • Experience building with Docker
  • Familiarity with cloud-native data architectures such as AWS, GCP, or Azure
  • Understanding of data engineering workflows, including orchestration, ELT/ETL, DAGs, and CI/CD
  • Exposure to platforms such as Airflow, Snowflake, Databricks, BigQuery, or dbt
  • 3-10 years of total experience
  • At least 2 years in a customer-facing technical role such as Sales Engineering or Solutions Architecture
  • Strong communication skills across technical and business stakeholders
  • Proactive, adaptable, and fast-moving startup-friendly mindset
  • Experience with observability, Kubernetes, or scaling modern data stacks
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The Company
HQ: New York, New York
344 Employees
Year Founded: 2018

What We Do

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io. Apache® and Apache Airflow® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by the Apache Software Foundation is implied by the use of these marks. All other trademarks are the property of their respective owners.

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